基于改进的Gabor指纹纹理提取算法的研究  

Research on Texture Extraction Algorithm Based on Improved Gabor Fingerprint

作　　者：裴炜冬 朱铮涛 杨敏[2] 萧达安 PEI Wei-dong;ZHU Zheng-tao;YANG Min;XIAO Da-an(School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China;Department of Criminal Technology,Guangdong Police College,Guangzhou 510440,China)

机构地区：[1]广东工业大学机电工程学院,广东广州510006 [2]广东警官学院刑事技术系,广东广州510440

出　　处：《计算机技术与发展》2018年第4期124-127,共4页Computer Technology and Development

基　　金：国家自然科学基金面上项目(61471134)

摘　　要：针对指纹纹理中的细节点特征和图像特征的提取,对常用的纹理提取方法如LBP纹理统计特征、基于分形维数的纹理特征提取、Gabor滤波器的纹理提取、Tamura纹理分析法等进行了一定研究。利用Gabor滤波器在频域和时域可以同时取得最优局部化的特性,可以很好地描述对应于空间频率(尺度)、空间位置及方向选择性的局部结构信息,因此提出在传统Gabor函数模型基础上引入了两种不同的曲率因子,并利用Gabor滤波器可以分解成两个正交方向的一维高斯滤波器的特性,解决了一般性Gabor滤波器不能很好地提取图像局部弯曲特征的问题。经过理论分析,实践研究表明,改进后的Gabor滤波器提取指纹纹理的效果要优于传统Gabor算子。For the extraction of minutiae feature and image feature in fingerprint texture,the commonly used methods of texture extraction such as statistical features of LBP texture,texture feature extraction based on fractal dimension,Gabor filter texture extraction and Tamura texture analysis are researched.According to the characteristics of optimal localization in frequency domain and time domain simultaneously for Gabor filter,the local structure information about spatial frequency(scale),spatial location and direction selectivity can be well described.For this,we propose introducing two different curvature factors on the basis of traditional Gabor function model,and solve the problem that the general Gabor filter cannot be used to extract the local bending features by the characteristics of general Gabor filter decomposed into one-dimensional Gauss filter in two orthogonal directions.After theoretical analysis and practical research,it is indicated that the improved Gabor filter is better than the traditional Gabor filter for the extraction of the fingerprint texture.

关 键 词：局部二值模式 分形维数 GABOR滤波器 纹理提取 Tamura 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]